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LD2005 Generative AI in education, learning and assessment 3.0 credits

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Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Autumn 2025 Start 25 Aug 2025 single courses students

Course location

KTH Campus

Duration
25 Aug 2025 - 12 Jan 2026
Periods

Autumn 2025: P2 (1.5 hp), P1 (1.5 hp)

Pace of study

10%

Application code

40016

Form of study

Distance Daytime

Language of instruction

Swedish

Course memo
Course memo is not published
Number of places

25 - 50

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus LD2005 (Spring 2025–)
Headings with content from the Course syllabus LD2005 (Spring 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The main themes of the course are:

  • Introduction and review of the basic technology of generative AI, from an educational and ethical perspective.
  • AI literacy: create, evaluate and improve AI-generated materials.
  • Student perspectives on generative AI; create learning resources with the support of generative AI.
  • Assessment and examination in relation to generative AI.

Intended learning outcomes

The aim of the course is to give participants the opportunity to develop knowledge, skills and abilities to use generative AI tools in their own teaching practice. A central theme in the course is the ability to create and evaluate materials created with the help of generative AI, from an educational and ethical perspective.

After passing the course, the participant should be able to:

  • Give an overview of the technology behind generative AI, and identify and reflect on the strengths and weaknesses of the technology from a learning perspective.
  • Use generative AI tools to develop learning resources, respond to legislation and guidelines, and reflect on ethical aspects of their own use.
  • Describe how generative AI can be used as a tool to support students' learning, and reflect on pedagogical advantages and disadvantages.
  • Identify potential risks associated with assessment and generative AI, and reflect on how to handle such risks.

Literature and preparations

Specific prerequisites

A total of 180 credits, 15 credits (min.) of which in pedagogy.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

P, F

Examination

  • LEXA - Continous assessment, 2.0 credits, grading scale: P, F
  • SEM1 - Seminars, 1.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

Active participation in the learning activities of the course.

Examiner

Profile picture Stefan Stenbom

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

ITM/Learning in Engineering Sciences

Main field of study

Technology and Learning

Education cycle

Second cycle